• Journal of Digital Convergence
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• v.10 no.10
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• pp.119-128
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• 2012

This study is to identify the factors that influence an intention to information security policy compliance of employees. To do this, this study is based on three theoretical backgrounds because of the lack of holistic perspective. Research results show that detection certainty and individual attachment have a positive effect on information security policy compliance intention. Detection certainty is influenced by security awareness education and training. Finally, response cost has a negative effect on information security policy compliance intention.

• Journal of Digital Convergence
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• v.7 no.2
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• pp.13-20
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• 2009

Most recently, development and publication of the ordinance and the manual of policy quality management is spreading the recognition of quality control in the public sector. The purpose of this study is to introduce the system of quality control for local government's policy. So we suggested lessons drew from the case study(Daegu metropolitan city, Gumi city) on current introduction. To successfully introduce the system of quality control for local government, we have to gain agrement for the new system, of introduction, secondly prepare the new system, lastly manage PQM with flexibility.

• Journal of Digital Convergence
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• v.6 no.2
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• pp.1-12
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• 2008

The spectrum usage fee has been imposed on spectrum users. The objective of the fee is spectrum management, so it is important to utilize it efficiently. Our study focused on how to efficiently utilize the spectrum usage fee. For this purpose it tried to found what the preconditions are for the efficient utilization, and analyzed current execution. The study showed that it did not comply with those preconditions, and produced policy recommendations. The authors expect that policy recommendations this study brought up will contribute to improve the policy process how to collect and use the spectrum usage fee.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.281-282
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• 2015

Data, by itself, will not reveal the optimal policy choice. Nor will data alone tell us what problems to focus on or how to direct resources. It should be recognized upfront that data-driven policy making cannot provide all the answers to the challenges of good governance. Policy decisions always depend on a combination of facts, analysis, judgment, and values. In this paper, we research on factors to design an organizational policy making for Big Data.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.171-180
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• 2007

The purpose of this paper is to find an policy vision and action plans for the growth of the Korean cultural contents industry as a new growth power in the 21th century. For this purpose, I referred to sundry records to analyze the characteristics, industrial situation and the prospects of the cultural contents industry. I also made an analysis on the outcome of the cultural contents policy with the help of the official concerned in the Ministry of Culture and Tourism, which made it possible for me to draw a few urgent problems of Korean cultural contents industry. With these preceding analyses, I proposed the strategy and action plans of the government policy for the Korean cultural contents industry as follows : strengthening the creative power of the cultural contents industry, systemizing the healthy circulation of the cultural contents, and improvement of the cultural welfare on the basis of contents.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.435-441
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• 2013

This paper review about kerberos security authentication scheme and policy for big data service. It analyzed problem for security technology based on Hadoop framework in big data service environment. Also when it consider applying problem of kerberos security authentication system, it analyzed deployment policy in center of main contents, which is occurred in commercial business. About the related applied Kerberos policy in US, it is researched about application such as cross platform interoperability support, automated Kerberos set up, integration issue, OPT authentication, SSO, ID, and so on.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.221-227
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• 2022

This study purports to deal with so-called basic income policy that Korea society has paid a great amount of attention to in welfare policy area. As an introduction, the definitions of basic income policy, and her natures and characteristics, and ideological foundation will be covered. Then, this study will discuss current debating issues upon basic income policy around the world such as basic income policy vs pre-existing social security systems, basic income policy and labor supply, the potential effect of basic income policy upon income redistribution, and feasibility of basic income as an actual policy. In conclusion, this study will investigate major criticisms on basic income policy and suggest viable paths that interested researcher should take for further study on basic income.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.275-287
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• 2015

Information technology (IT) convergence have been recognized one of the key drivers in the industry perspective. Especially, IT convergence have been one of the most important innovative way for defense sector. Korea government established IT convergence policy in 2008 and have been applying it to the core industry such as automotive, shipbuilding and defense industries. Recently, the creative vitamin project has been launched. Vitamin 'D' means the way to create the value of defense industry. This research analyzes and evaluates various IT convergence business models based on an operation of defense IT convergence center from 2011 to 2014, which is the industry IT convergence centers. Defense IT convergence business models can be classified into four types of mission area as follows : weapon acquisition and management, military intelligence, military power construction, and resources management. We define the concept of defense IT convergence and describe the framework and processes for applying IT to the defense sector. We analyzes and evaluates various business models designed through defense IT convergence framework and processes.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.5
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• pp.475-481
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• 2019

The paradigm of convergence R&D is shifting from the convergence of technologies to the convergence of solutions to solve the complex problems of scientific and social development. On the other hand, it is prevalent that there is a lack of convergence in our research field. Although Korea has invested heavily in fusion research and development, Korea has mainly focused on the application and development of technology, so failed to plan convergence R&D in line with the new paradigm. Therefore, in this study, we searched for convergence R&D area that is being done to solve social problems, and tried to make use of data-driven objective methods. For this purpose, we used the investment information of global R&D projects that had no retrospective properties and derived the convergence R&D area related to coastal flooding.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.4_2
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• pp.627-636
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• 2022

Market convergence plays an increasingly important role in sustaining competitiveness and providing impetus for the new product development. However, existing research focused mostly on the analysis of convergence at technology level. This study examines the phenomenon of market convergence based on the start-up data. Similar to the analysis of technology convergence, this study adopts the concept of co-classification analysis for constructing the co-occurrence matrix and the corresponding network. In this context, network centrality measures were calculated to assess the influence of individual market segments. Based on three metrics "growth", "persistence" and "novelty", the market convergence dynamics were explored and promising interactions between two distinct market segments were highlighted. The findings suggest that both segments "AI" and "blockchain" are acting as a driver that fosters market convergence in the startup landscape. The analysis results can provide valuable information for the R&D managers and policy makers in the design of targeted policies and programs, which can promote market convergence and interdisciplinary knowledge transfer.